Journal article
Automatic detection of acromegaly from facial photographs using machine learning methods
- Abstract:
-
Background Automatic early detection of acromegaly is theoretically possible from facial photographs, which can lessen the prevalence and increase the cure probability. Methods In this study, several popular machine learning algorithms were used to train a retrospective development dataset consisting of 527 acromegaly patients and 596 normal subjects. We firstly used OpenCV to detect the face bounding rectangle box, and then cropped and resized it to the sam... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- EBioMedicine Journal website
- Volume:
- 27
- Pages:
- 94-102
- Publication date:
- 2017-12-15
- Acceptance date:
- 2017-12-14
- DOI:
- ISSN:
-
2352-3964
- Pmid:
-
29269039
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:812818
- UUID:
-
uuid:cc9a89d2-0e32-48fb-be19-f988272a8f2b
- Local pid:
- pubs:812818
- Source identifiers:
-
812818
- Deposit date:
- 2018-08-14
Terms of use
- Copyright holder:
- Kong et al
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/)
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